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Show from 11/27/20
Host Jeremy Schwartz interviews the co-authors of a paper that try's to conquer setting long-term expectations. They get into how to define a long-term expected return for US equity markets and re-evaluate the CAPE framework.
Guests:
Adam Kobor - Managing Director of Investments at New York University, co-author of an article "Ultra-Simple Shiller's CAPE: How One Year's Data Can Predict Equity Market Returns Better Than Ten"
Thomas Philips - Adjunct professor in the department of finance and risk engineering at NYU's Tandon School of Engineering, co-author of an article "Ultra-Simple Shiller's CAPE: How One Year's Data Can Predict Equity Market Returns Better Than Ten"
Read their paper here: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3443289
Follow WisdomTree on Twitter: @WisdomTreeETFs
Follow Jeremy Schwartz on Twitter: @JeremyDSchwartz
Ask Siegel: If you have a pressing finance question we invite you to email us: [email protected]
Hosted on Acast. See acast.com/privacy for more information.
By Behind the Markets4.4
9494 ratings
Show from 11/27/20
Host Jeremy Schwartz interviews the co-authors of a paper that try's to conquer setting long-term expectations. They get into how to define a long-term expected return for US equity markets and re-evaluate the CAPE framework.
Guests:
Adam Kobor - Managing Director of Investments at New York University, co-author of an article "Ultra-Simple Shiller's CAPE: How One Year's Data Can Predict Equity Market Returns Better Than Ten"
Thomas Philips - Adjunct professor in the department of finance and risk engineering at NYU's Tandon School of Engineering, co-author of an article "Ultra-Simple Shiller's CAPE: How One Year's Data Can Predict Equity Market Returns Better Than Ten"
Read their paper here: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3443289
Follow WisdomTree on Twitter: @WisdomTreeETFs
Follow Jeremy Schwartz on Twitter: @JeremyDSchwartz
Ask Siegel: If you have a pressing finance question we invite you to email us: [email protected]
Hosted on Acast. See acast.com/privacy for more information.

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